Evidence map›Paper›PMID 27320493›Full record

ArticleAIDS care2016

High levels of self-reported prescription opioid use by HIV-positive individuals.

Abigail Norris Turner, Courtney Maierhofer, Nicholas T Funderburg, Brandon Snyder, Kristi Small, Jan Clark, Jose A Bazan, Nicole C Kwiek, Jesse J Kwiek

Abstract read
In one paragraph

Article in AIDS care, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Abigail Norris Turnera Division of Infectious Diseases , College of Medicine, the Ohio State University , Columbus , OH , USA.
Courtney Maierhofera Division of Infectious Diseases , College of Medicine, the Ohio State University , Columbus , OH , USA.
Nicholas T Funderburgb Division of Medical Laboratory Science , School of Health and Rehabilitation Sciences, the Ohio State University , Columbus , OH , USA.
Brandon Snydera Division of Infectious Diseases , College of Medicine, the Ohio State University , Columbus , OH , USA.
Kristi Smalla Division of Infectious Diseases , College of Medicine, the Ohio State University , Columbus , OH , USA.
Jan Clarka Division of Infectious Diseases , College of Medicine, the Ohio State University , Columbus , OH , USA.
Jose A Bazana Division of Infectious Diseases , College of Medicine, the Ohio State University , Columbus , OH , USA.
Nicole C Kwiekc Division of Pharmacology , College of Pharmacy, the Ohio State University , Columbus , OH , USA.
Jesse J Kwiekd Department of Microbial Infection and Immunity , College of Medicine , Columbus , OH , USA.

Funding

A Method to Stop HIV Replication:Inhibition of Human Purine Utilizing ProteinsR01AI090644 · NIAID · OHIO STATE UNIVERSITY · PI KWIEK, JESSE J · 2010 to 2013
$1.8M
Cellular mediators of vascular inflammation in treated HIV infectionR56HL126563 · NHLBI · OHIO STATE UNIVERSITY · PI FUNDERBURG, NICHOLAS T. · 2014 to 2014
$810k
Tissue factor expression in HIV disease - Implications for cardiovascular riskR00HL108743 · NHLBI · OHIO STATE UNIVERSITY · PI FUNDERBURG, NICHOLAS T. · 2014 to 2016
$747k
NHLBI NIH HHS R00 HL108743NHLBI NIH HHS R56 HL126563NIAID NIH HHS R01 AI090644
6 · The paper itself

Abstract

Prescription medication use (other than antiretroviral therapy (ART)) is highly prevalent among people living with HIV. Prescription medications may be used medically or non-medically: non-medical use includes using more medication than prescribed, using medication prescribed to someone else, or using medication for a purpose other than its prescribed use. During 12 weeks in 2014-2015, we characterized medical and non-medical prescription medication use among HIV-positive patients attending an academic medical center (n = 149) and a community clinic (n = 105). Separately for the past year and the past month, these 254 participants self-reported their use of prescription opioids, sedatives, stimulants, anti-anxiety medications, antipsychotic medications, and erectile dysfunction medications. Respondents were largely male (91%), aged 40 or older (61%), identified as gay or bisexual (79%), and were men who have sex with men (85%). ART use was nearly universal (95%). Nearly half (43%) of participants reported medical use of prescription opioids; 11% of the opioid use was reported as non-medical use. Anti-anxiety medication use was also frequent, and differed by site: 41% of community-clinic responders reported medical use of anti-anxiety medications compared to 23% of hospital clinic respondents who reported medical use. Prescription sedative use was also approximately twice as high among community-clinic participants, with medical use reported by 43% of respondents and non-medical use by 12%; in comparison, at the hospital clinic, sedative use was reported by 18% (medical) and 7% (non-medical) of participants. Stimulant use was rare in both sites. No demographic characteristic was significantly associated with medical or non-medical use of any prescription medication. The current focus of many studies on only non-medical prescription medication use not only underestimates the widespread exposure of HIV-positive individuals to these drugs, but may also underestimate potential adverse effects of prescription medications in this population.

Indexed as

AdolescentAdultAnalgesics, OpioidAnti-Anxiety AgentsAnti-HIV AgentsCommunity Health CentersFemaleHIV InfectionsHumansHypnotics and SedativesMaleMiddle AgedOutpatient Clinics, HospitalPrescription Drug MisusePrescription DrugsPrevalenceAnalgesics, OpioidAnti-Anxiety AgentsAnti-HIV AgentsHypnotics and SedativesPrescription DrugsARTHIVmedical usenon-medical useopioidsprescription medication

Identifiers

PMID27320493
PMCPMC5137247

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.